301 to 325 of 1,773 Machine Learning Jobs in London

for our SaaS products. As part of the product development capability here at Orgvue, we make use of emerging technologies bringing many opportunities for learning and innovation. As a Lead AI Engineer, you will: Play a high impact role in driving our AI journey, helping intelligent org design become … that enhance data quality and assist some of the world's biggest brands in making excellent decisions with regards to their organisation. Apply deep machine learning and software engineering expertise to prototype, evaluate, and productionise models across a range of use cases, including structured and unstructured data. Work … background in machine learning, data science, or applied AI, with hands-on experience in model development, evaluation, and deployment. Proficiency with relevant ML libraries and frameworks such as PyTorch, TensorFlow, scikit-learn, HuggingFace or similar. Experience with modern ML tooling, such as MLflow, Jupyter, feature stores, and vector More ❯

The Amazon Alexa AI team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms within the realm of Generative AI. Key Responsibilities Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML for GenAI. … call activities for critical issues. Basic Qualifications Master's or PhD in computer science, statistics or a related field. 5+ years experience in deep learning, machine learning, and data science. Proficiency in coding and software development, with a strong focus on machine learning frameworks. Experience … sets, etc. Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting. Papers published in AI/ML venues of repute. Preferred Qualifications Track record of diving into data to discover hidden patterns and conducting error/deviation analysis. Ability to develop experimental More ❯

scalable solutions that unlock value for Cerberus desks, portfolio companies, or other businesses/investments. You’ll do this by designing, implementing, and deploying machine learning systems that help our desks and portfolio companies make better business decisions and ultimately drive value. You may also participate in due … valuable areas for the business. Requirements: 4+ years of experience A degree in STEM field or equivalent and advanced degree. Strong knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages More ❯

scalable solutions that unlock value for Cerberus desks, portfolio companies, or other businesses/investments. You’ll do this by designing, implementing, and deploying machine learning systems that help our desks and portfolio companies make better business decisions and ultimately drive value. You may also participate in due … valuable areas for the business. Requirements: 4+ years of experience A degree in STEM field or equivalent and advanced degree. Strong knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages More ❯

of generative AI and its applications in life sciences. Our team is dedicated to building foundational expertise and developing the next generation of deep learning technologies. Roles are available for both recent graduates and senior profiles. Generative foundation models like ESM-3, AlphaFold, RFDiffusion, and ProteinMPNN are revolutionising computational … Contribute to the creation of new models that push the boundaries of what's possible in computational biology. Collaborate Across Disciplines Work closely with Machine Learning Engineers, Research Engineers, Computational Biologists, and other experts. Leverage Cutting-Edge Resources Utilise our near-exascale supercomputing cluster, Kyber, to conduct large … and evaluation of generative models. Publish and Present Research Share your findings at top-tier conferences and in leading journals. Responsibilities Innovate in Deep Learning Research Develop and implement novel research on multimodal generative foundation models and their biological applications. Contribute to Team Success Collaborate with team members to More ❯

Engineer Do you love creating innovative solutions for customers? We are seeking a passionate Senior Research Engineer who will bring expertise in AI and ML and is interested in building data-driven capabilities that drive transformation. As a member of Thomson Reuters Labs, you will have a direct impact on … Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high-quality solutions. Build Scalable ML Solutions: You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You will develop high … s Degree in Computer Science, Related Field, or Equivalent Experience At least 5 years software engineering experience. At least 2 years working on a Machine Learning related product or solution. Have a deep understanding of Python software development stacks and ecosystems. Demonstrate ability to write clean, reusable, maintainable More ❯

business, developing state-of-the-art credit risk models to underpin loan and credit card products. You’ll work with rich datasets, deploy advanced machine learning techniques, and collaborate across the business to deliver … best-in-market solutions. This is a hands-on role in a team that self-serves deployments and monitoring, without reliance on a separate ML engineering team. Key Responsibilities Develop proprietary risk models to improve underwriting quality and enhance decision-making. Understand the products, data, and strategies to effectively inform … in Python and machine learning techniques, with a solid understanding of their applications. Knowledge of the credit industry, including products, data, and ML use cases. Strong communication skills and the ability to work effectively within a team. Self-driven, with a proactive approach to leading projects and initiatives. More ❯

business, developing state-of-the-art credit risk models to underpin loan and credit card products. You’ll work with rich datasets, deploy advanced machine learning techniques, and collaborate across the business to deliver … best-in-market solutions. This is a hands-on role in a team that self-serves deployments and monitoring, without reliance on a separate ML engineering team. Key Responsibilities Develop proprietary risk models to improve underwriting quality and enhance decision-making. Understand the products, data, and strategies to effectively inform … in Python and machine learning techniques, with a solid understanding of their applications. Knowledge of the credit industry, including products, data, and ML use cases. Strong communication skills and the ability to work effectively within a team. Self-driven, with a proactive approach to leading projects and initiatives. More ❯

insights from complex crime and intelligence data, supporting data-driven decision-making in crime prevention, investigations, and public safety. This involves leveraging statistical modelling, machine learning, and other data science techniques to identify patterns, predict trends, and generate intelligence that informs policing strategies. EXPERIENCE: 5+ years of experience … world problems, preferably in a public sector. Good experience of working with large and complex datasets and handling sensitive data. Experience with predictive modelling, machine learning, data visualizations and dashboards. SKILLS ATTRIBUTES Proficiency in statistical modelling and machine learning techniques. This includes skills in regression analysis More ❯

fast-paced and ever-changing environment. Key job responsibilities Ability to understand a business problem and the available data and identify what statistical or ML techniques can be applied to answer a business question Given a business problem, estimate solution feasibility and potential approaches based on available data Understand what … to facilitate permissions and acquisition of required data Quickly prototype solutions and build models to test feasibility of solution approach Build statistical models/ML models, train and test them to drive towards the optimal level of model performance Improve existing processes with development and implementation of state of the … their performance experience - Experience applying theoretical models in an applied environment PREFERRED QUALIFICATIONS - Experience in Python, Perl, or another scripting language - Experience in a ML or data scientist role with a large technology company Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have More ❯

The Amazon Alexa AI team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms within the realm of Generative AI. Key Responsibilities Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML for GenAI. … activities for critical issues. Basic Qualifications Master's or PhD in computer science, statistics or a related field. 2-7 years experience in deep learning, machine learning, and data science. Proficiency in coding and software development, with a strong focus on machine learning frameworks. Experience … sets, etc. Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting. Papers published in AI/ML venues of repute. Preferred Qualifications Track record of diving into data to discover hidden patterns and conducting error/deviation analysis. Ability to develop experimental More ❯

modal datasets to extract insights and features that can be used by downstream AI models. Develop integrated AI solutions by combining fine-tuned LLMs, machine learning models, and custom algorithms to address complex marketing challenges. Stay abreast of the latest trends in AI research and integrate them into … our products and services. Communicate technical challenges and solutions to non-technical stakeholders and team members. MINIMUM QUALIFICATIONS/SKILLS Experience in machine learning, with a strong knowledge of algorithms and principles. Proven track record of building and deploying machine learning models into production. Hands-on … experience with both structured and unstructured data. Experience with deep learning models for either computer vision or natural language processing. Proficiency with the Python programming language. Knowledge of Git and collaboration principles. Strong communication and presentation skills. WE OFFER Development - annual development budget to upskill yourself. Benefits - Health insurance More ❯

The Amazon Alexa AI team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms within the realm of Generative AI. Key Responsibilities Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML for GenAI. … PhD in computer science, statistics or a related field or relevant science experience (publications/scientific prototypes) in lieu of Masters. Experience in deep learning, machine learning, and data science. Proficiency in coding and software development, with a strong focus on machine learning frameworks. Experience … level of organization and strong attention to detail. Comfortable working in a fast paced, highly collaborative, dynamic work environment. Papers published in AI/ML venues of repute. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace More ❯

Role Senior Executive Contract Type Permanent Hours Full Time DESCRIPTION Are you passionate about helping UK enterprises transform their businesses through Generative AI and Machine Learning? Do you love building new strategic and data-driven businesses? Do you want to join AI Specialty sales organization, one of the … a Generative AI and Machine Learning Specialist Seller! AWS is seeking an exceptional sales and business development leader specializing in AI/ML solutions for enterprise customers across the United Kingdom. Key job responsibilities - Lead the AWS AI Business for your assigned verticals and sub-industries, across UKI. … sales of business development - Extensive Domain knowledge of AI from a business level perspective - Bachelor's degree PREFERRED QUALIFICATIONS - Experience with AWS AI/ML services (SageMaker, Bedrock, CodeWhisperer, etc.) - Entrepreneruship/startup experience - Experience speaking at conferences and events - Experience in consulting or working for large, complex organisations Amazon More ❯

to aviation. Responsibilities: Working across the Cirium business departments and directly with our customers where appropriate. Using your expertise in data analysis, statistics, and machine learning, you will build and deliver high-value analytics products to our customers. Contributing your expertise to lead on and deliver projects, inform … commercial setting. Demonstrated track record of delivering analytics projects through R&D and discovery to production, with a clear understanding of the Data Science & Machine Learning Lifecycle. Excellent communication skills, able to work across departments, engage with senior leadership, and work directly with our customers. Excellent commercial awareness … initiatives. Good Python and SQL skills, experience with the AWS stack, Spark, Databricks and/or Snowflake desirable. Solid understanding of statistical modelling and machine learning algorithms, and experience deploying and managing models in production. Experience with Aviation data sets is desirable. Very good data engineering skills, with More ❯

that requires an individual with excellent team leadership skills, business acumen, and the breadth to work across multiple Amazon Prime Business Teams, Data Engineering, Machine Learning and Software Development teams. A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and a proven … develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations. Apply Statistical and Machine Learning methods to specific business problems. Partner with Machine Learning team in Model Building w.r.t. variable definition, model validation and creation More ❯

years at the forefront of the MLOps space, Seldon's mission is simple: to enable businesses to take control of complexity, offering real-time machine learning deployment with enhanced observability and flexibility. At Seldon, we're not just about technology. We're about people. As a small, focused … is key to our success, and we pride ourselves on the unity and support that comes from working as one team. Our environment encourages learning, growth, and the opportunity to tackle complex challenges. With leadership that values your success, there's always room to develop both personally and professionally. … generation data-centric MLOps platform (Seldon Core v2) that allows users to scale to 1000s of models in production and build powerful data-driven ML inference pipelines using Kafka. There will also be the opportunity to get involved in the continued development of our suite of LLM and Data Science More ❯

Position: Data Scientist, Machine Learning Engineer Company: Meta Client Statistics: 11 clients (27% rebook rate) Rating: 5.0 (5 reviews) About Yahia Yahia is a former Facebook Senior Research Data Scientist in their London office. He has conducted over 50+ interviews for Facebook and has coached more than 10+ … people throughout his career. He has experience working in eCommerce, applied statistics, data center optimization, and instrumentation. Today, Yahia is a Senior Machine Learning Engineer for a major social media network. Mentoring Expertise Yahia is an expert in the following areas and can mentor you to improve these … Technical communication, cross-functional collaboration, performance reviews, managing up. Engineering Skills: Python, Data Structures, Machine Learning, LLM fine-tuning, observability, large-scale ML deployments, code quality. Data Skills: Experimentation, measurement framework and metric design, data analysis and data manipulation. Services Offered Career coaching, Interview coaching, Mentoring Availability Times More ❯

The role We are building the sportsbook of tomorrow at FDJ United. Machine learning algorithms and AI are at the heart of how we will deliver an unrivalled customer experience and unlock operational efficiencies through automation. Our Data Science (DS) and Machine Learning Engineering (MLE) teams … recommendations. Excellent interpersonal skills, able to explain complex concepts to stakeholders. Ability to coach, support and mentor more junior team members. Advanced knowledge of machine learning algorithms and general statistical methodologies and theory. Advanced knowledge of AB testing and design of experiment. Advanced Python and SQL skills, experience More ❯

Head of Software Engineering £150k - Java, Machine Learning, and Data-Driven Innovation Are you ready to lead the charge in revolutionizing industrial maintenance through cutting-edge technology? Join an innovative tech firm that's transforming the industry with data-driven intelligence and machine learning. This is your … international clients, discussing project progress, setting realistic deadlines, and ensuring clear communication with all stakeholders. You'll lead and contribute technically, developing and maintaining machine learning pipelines, building software products, and leveraging technologies such as Java, Spring frameworks, microservices, AWS, SQL, Elasticsearch, and Python. We're looking for More ❯

and passion for your chosen field. At the core will be the development and use of appropriate analytical techniques that include advanced analytics and machine learning to tackle some of the highest areas of fraud risk to the NHS and ultimately protect public funds for patient care. About … expertise of managing data engineering projects and processes including data wrangling methods, models, data structures, and data formats such as JSON, XML and XSD. Machine learning for engineering practices, such as meta driven intelligent ETL and pipeline processes. Strong skills in relevant programming languages, frameworks, and platforms including … and project management methodology. Practical implementation of CI/CD in Azure DevOps. Experience in technologies relating to Data Science, for example: statistical analysis, machine learning, or natural language processing. Experience with relational SQL and databases. Experience with Azure tech stack such as Fabric, Data Factory, Synapse Analytics More ❯

Business Research Analyst - I, RBS Sciences As a Research Analyst, you'll collaborate with experts to develop cutting-edge ML solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art … ML models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. Key job responsibilities Collaborate with seasoned Applied Scientists and propose best in class ML solutions for business requirements. Dive deep to drive product … roadmap. Build scalable solutions in partnership with Applied Scientists by developing technical intuition to write high quality code and develop state of the art ML models utilizing most recent research breakthroughs in academia and industry. Coordinate design efforts between Sciences and Software teams to deliver optimized solutions. Ability to thrive More ❯

Data Scientists, four Data Scientists, and the Head of Data Science. We specialise in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning … to generate actionable insights and enhance business performance Proficient in machine learning and statistical methods for predictive modelling and forecasting Experience deploying ML models to production at scale Solid understanding of SQL Proficiency in unit testing, CI/CD, model management and experiment tracking Desirable Experience with Deep … Learning, Generative AI and Reinforcement Learning Experience with Time Series Forecasting and Recommender Systems Previous experience working in e-commerce, retail, or the travel industry. Conducted and analysed large scale A/B experiments Experience mentoring team members Experience with workflow orchestration technologies such as Airflow, Dagster or More ❯

Digital Acceleration The Digital Acceleration (DA) team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms for solving Digital businesses problems. Key Job Responsibilities Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML. … Experience building machine learning models or developing algorithms for business application. PhD, or a Master's degree and experience in CS, CE, ML or related field. Knowledge of programming languages such as C/C++, Python, Java or Perl. Experience in any of the following areas: algorithms and … structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Proficiency in coding and software development, with a strong focus on machine learning frameworks. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Excellent communication More ❯

of our mission to create a healthier future for all. We have an exciting opportunity for a Senior Data Scientist with a background in machine learning, statistics, data science to join our Pharmacology team in either London UK or West Point PA. In this role, you will be … wrangle and analyze unstructured and structured data that will drive new translational strategies for the company. Participate in the development and implementation of active learning-based approaches to drug discovery. Work with automation engineers and laboratory scientists to develop the infrastructure to collect and move data off of lab … Chemistry or other quantitative field; or a Master's degree in the same field with experience in some aspect of computational drug discovery or machine learning in a pharma or biotech setting. An understanding of pharmacology experiments for the purposes of drug discovery, and how to design statistically More ❯